Fig. 8: Image representation in awake mice.
a, b Schematic of eye position analysis. a Image of a right eye. The white rectangle indicates the area recorded during imaging and analyzed offline (left). The recorded image (upper right panel) was binarized, and the pupil was fitted with an ellipse (red contour in lower right panel). The center of the ellipse was used to estimate the eye position (red dot). b Distribution map of eye position during imaging overlaid onto the image in a. The peak position of the distribution was detected, and the data were used for subsequent analyses only when the eye stayed around the peak position (white circle, <3.5 degrees or ~70 microns on the image). Scale bars: 1 mm. c Examples of eye position and locomotion state during imaging. Upper two panels: horizontal (X) and vertical (Y) eye positions. The red lines indicate time points at which the eye stayed around the peak position (inside the white circle in b). Lower two panels: position and velocity of a disc-type treadmill. The cyan lines indicate time points at which the mouse ran (velocity >2 cm/sec). d–h Image reconstruction by the cell-selection model in awake mice. d Examples of the reconstructed images. e, f Reconstruction performances (e pixel-to-pixel correlation, R. f coefficient of determination, CD); N = 7 planes. g, h R g and CD h versus the number of neurons. A single image was reconstructed by a small number of neurons. The thick black line and gray lines indicate the means and the means ± S.E.M, respectively (n = 6 planes). Only data for images that included at least five responsive cells were used. The stimulus images in d are adapted from the databases in refs. 56,57 with permission. Source data are provided as a Source Data file.
